code: def check_forward_cpu(self, embeddings, labels, t_data):
      t_dist, t_var, t_reg = (
          chainer.Variable(t_data[0]),
          chainer.Variable(t_data[1]),
          chainer.Variable(t_data[2]),
      )
      l_dist, l_var, l_reg = self.get_result(embeddings, labels)
  
      numpy.testing.assert_almost_equal(l_dist.data, t_dist.data)
      numpy.testing.assert_almost_equal(l_var.data, t_var.data)
      numpy.testing.assert_almost_equal(l_reg.data, t_reg.data)
  
file_path: chainer/tests/chainer_tests/functions_tests/loss_tests/test_discriminative_margin_based_clustering_loss.py
imports: import unittest
  import numpy
  import chainer
  from chainer.backends import cuda
  from chainer import functions
  from chainer import gradient_check
  from chainer import testing
  from chainer.testing import attr
label_desc: Use image node_id 3 for calling the TestDiscriminativeMarginBasedClusteringLoss obj's underlying member method code with example usage: obj.check_forward_cpu(embeddings, labels, t_data) without return types